by yoanbernabeu · MCP Server · ★ 1.7k
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grepai grep for the AI era Search code by meaning, not just text. Documentation · Installation · Quick Start is a privacy-first CLI for semantic code search. It uses vector embeddings to understand code meaning, enabling natural language queries that find relevant code—even when naming conventions vary. Drastically reduces AI agent input tokens by providing relevant context instead of raw search results. Features Search by intent — Ask "authentication logic" and find Trace call graphs
| Stars | 1,731 |
| Forks | 140 |
| Language | C |
| Category | MCP Server |
| License | MIT |
| Quality Score | 38.4/100 |
| Open Issues | 88 |
| Last Updated | 2026-06-08 |
| Created | 2026-01-09 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~160k |
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grepai is Semantic Search & Call Graphs for AI Agents (100% Local). It is categorized as a MCP Server with 1.7k GitHub stars.
grepai is primarily written in C. It covers topics such as ai, claude-code, cli.
You can find installation instructions and usage details in the grepai GitHub repository at github.com/yoanbernabeu/grepai. The project has 1.7k stars and 140 forks, indicating an active community.
grepai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to grepai on Agent Skills Hub include octocode, TokenTracker, Unity-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.